Title :
Wavelet-Based Face Recognition Method by Using Support Vector Machine
Author :
Liu, Yi ; Sun, Tao ; Yang, Huang ; Yang, Yongmi ; Zhou, Xinhong
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
Abstract :
A new method of facial representation proposed for face recognition by support vector machine (SVM). For face representation we have used a five-step multiresolution method, namely the two-dimensional discrete wavelet transform (DWT) is used to transform the faces to a more discriminated space and then use the approximations of subimages in each scale as feature points to classify different faces. The experimental results shown a significant improvement which includes a substantial reduction in error rate and the correct recognition rate is high up to 100%.
Keywords :
discrete wavelet transforms; face recognition; image representation; image resolution; support vector machines; error rate reduction; facial representation method; five-step multiresolution method; support vector machine; two-dimensional discrete wavelet transform; wavelet-based face recognition method; Discrete wavelet transforms; Face detection; Face recognition; Feature extraction; Image recognition; Independent component analysis; Linear discriminant analysis; Principal component analysis; Support vector machine classification; Support vector machines;
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
DOI :
10.1109/ICICIC.2009.383
